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# Analytics Platform Engineer

- **Company:** LM RECRUITMENT SOLUTIONS LTD
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Continuous Integration, Elasticsearch, Graph Database, Python (Programming Language), Node.Js, OAuth, OpenID, Software Engineering, Trusted Systems, ReactJS, Apache Spark, Gitlab, Kubernetes, Data Analytics, Data Management, Machine Learning Operations, Docker
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2881391418-analytics-platform-engineer

## About the Role

In this role, we are looking for a mixture of the following skills:

Python

Kubernetes

Docker

CI/CD basics (Gitlab pipelines)

Data science and MLOps knowledge (highly desirable)

Spark (highly desirable)

Scala (highly desirable)

S3 (highly desirable)

Graph databases (highly desirable)

Elasticsearch (highly desirable)

Vector stores (highly desirable)

OIDC/OAuth (highly desirable)

NodeJS (highly desirable)

React (highly desirable)

Will be required to hold a higher level of clearance.

## Description

We are seeking an Analytics Platform Engineer to join our team, where you will play a key role in

designing, building, and evolving robust analytics hosting platform that supports mission-critical solutions. In this role, you will develop, test, deploy, and enhance platform capabilities, resolve issues

within existing analytics services, and provide hands-on engineering support to Data Scientists and

MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving skills, adaptability, and a practical engineering mindset to deliver reliable, scalable, and secure solutions that enable data-driven outcomes for our client. The following is a headline list of the type of tasking that the person in this role may be expected to

lead / facilitate / support. This list is not exhaustive; rather an outline of responsibilities that may need ownership.

In this role, you will:

Work on high impact projects focused on cloud migration and data management.

Build scalable, secure systems and contributing to the full software development lifecycle.

Design, develop, test, and deployment of a new analytic hosting platform.

Bugfixes and feature requests for existing mission facing analytics.

Engineering support to MLOps engineers and Data Scientists. These are unpredictable and

highly variable requirements, potentially using unfamiliar technology, so a flexible style is


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